DOCSLIB.ORG

Download Article (PDF)

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Download Article (PDF) 2013 International Conference on Advances in Social Science, Humanities, and Management (ASSHM 2013) Research on characteristics in the spatial distribution of the whole county population of Sichuan province, China via ARCGIS analysis Guiyao Zhou1, Yanyou Wu1*,Xianjian Xie2, Deke Xing1,Fang Fan3, Rui Yu1 1Key laboratory of Modern Agricultural Equipment and Technology, Ministry of Education＆Jiangsu province, Jiangsu University, Zhenjiang, China 212013;2Geography and Resource Science College ,Neijiang Normal University, Neijiang, China 641110; 3Software College, Chongqing University, Chongqing, China 401331 [email protected], 1*[email protected],* Corresponding author Abstract: 1.Introduction 2000 and 2010 year census population data of Population,Resources,Environment, Energy each county of Sichuan Province, China has and Food problems are five major issues that the been chosen as research objects in our research. world is facing nowadays, with the population In this study, different spatial fitting model of problem being the core issue (CAS,2000).The geostatistics modules which are based on Arcgis spatial distribution of population is characterized Software has been used to discuss the fitting by the combination of results of geographical effects of population density data. The best conditions, climate suitability, degree of district spatial distribution fitting model was obtained economy and social policy orientation and which has been used to make optimal Kriging others.The traditional sense of demographic data interpolation. The factors affecting Sichuan comes from national census every 10 years. It Province Population change have also been takes administrative areas such as counties and analyzed. Results showed that the overall cities as statistics unit.However, in practice there distribution of Sichuan province population has often exits some problems such as low spatial uneven spatial distribution and circular style. resolution data and administrative boundaries Counties population in space formed two not coinciding with population macroscopic distribution patterns: One is the boundaries,Regional population data can usually Western Sichuan-intensive area and the other only provide discrete and limited data sample. In one is basins gathering area. Time distribution of recent years, comparative studies on spatial different density region has changed over time, distribution of population density were carried especially the population of Chengdu economic out by many authors (Feng et al.,2002; region and the Southern Sichuan economic Christopher;etal.,1999).Suggesting that people‘s region which are growing rapidly. The whole research methods on this subject of spatial population in Sichuan province shows an distribution of population data have gradually increasing trend from west to east. Natural changed from traditional statistics method to conditions, policies and economic conditions are diverse space data analysis method. The the most important factors that influence the emergence of various geostatistical analysis Spatial and Temporal distribution regularity of software such as Arcgis Series, GS +, etc has population of Sichuan Province. created a broad application of conditions for Keywords: Geostatistics; Sichuan Province; spatial distribution statistics of population. There Distribution of population; Spatial interpolation are various geostatistical models such as model Gaussian, exponential, spherical models etc. © 2013. The authors - Published by Atlantis Press 1000 However, on processing data spatialization, the differences and economic disparities, the selection of best space model directly relate to economic spatial differences are still apparent. the quality of spatial distribution of statistical Differences between economic regions and data. In this paper, the geostatistics methods differences in city and outside coexist at the have been made use of and county has been used same time (Zhang and Ren,2011). as administrative units to analyze and discuss the 2.2 Data sources and data analysis fifth and sixth national census population density Research data include following parts: data of all 181 counties and cities in Sichuan (1)Sichuan digitized maps, which were digital Province. The best models were chosen to scan on Sichuan 1:100000 base map by Arcgis simulate the population denstiys‘spatial Software.(2)Administrative Region boundary distribution in Sichuan Province, and kriging data.(3)The total counties, cities population and interpolation methods have been used to administrative area data in Sichuan in year 2000 simulate the best trend surface of spatial and 2010.These data comes from 《 Sichuan distribution of population density. Finally, the Statistical Yearbook 2000, 2010》.Due to the dynamic characteristics of population accelerating urbanization, the original distribution of each region have been explored administrative division‘s settings do not suit the within two censuses period. pace of development.Therefore,the local 2.Materials and methods government made some adjustments which lead 2.1 Study area to changes in administrative boundaries of many Sichuan Province is situated in the south counties during this decade. For example, the old west of China,upstream of Yangtze River and three districts in Pengxi County have been surrounded by Chongqing,Yunnan,Tibet, changed into Daying County. In order to Shaanxi and other provinces.Its geographical facilitate comparison and analysis process, the coordinatesare97°21′—108°31′E,26°03′—34°19′ fifth census data has been used to do the N. Sichuan covers an area of 48.5×104km2, appropriate conversion, which is based on the ranking as the fifth largest Province in Western sixth census of the administrative unit divisions. China.It mainly constitutes of plateaus, In the first place, the 2000 and 2010 year mountains, hills and other topographies. Western population data was fed into the county's topography is high, while Eastern topography is population density database and the equation lower. The Study area is shown in Figure 1. It is which is Population density = total population dominated by a subtropical climate. In year 2000, / total area was used to calculate out 2000 and the population of Sichuan Province was nearly 2010 year population density of all the 181 87 million, accounting to 23.7% of Western counties and cities. China Population. Sichuan Province consists of Chengdu, Mianyang, Ya'an, Wenchuan and other 181 counties and cities. It is one of the richest regions with important national resources, and also an important ecological barrier to the upstream of Yangtze River. The economy in this area is flourishing, often ranked first in Western China. Sichuan has a provincial situation with "large population,weak economic foundation, and under development." Due to the differences Figure1. Study area in natural, historical economic conditions, policy 1001 2.3 Research methods on spatial distribution,variation characteristics of Geostatistics, also called the geostatistical the population density database of all 181 method, has been put forward by the famous Counties and cities of Sichuan province. French statistician, G. Matheron after doing a 3.1.1Trend analysis large number of theoretical studies on the basis With Arcgis software, Trend Analysis of the gradual formation of a new branch of Tools provide 3D perspective view that convert statistics. It is based on regionalized variable and sampling sites in study areas into the view that use of variograms to research natural treat the interested property value as height, and phenomenon that not only has randomness but allow users to analyze the whole trend of the also structural or spatial correlation and data sets of sampling point from a different dependence. Geostatistics is generally based on perspective (Tang,2006).This tool on a certain the semivariogram and kriging interpolation extent can reflect the spatial phenomenon methods to simulate and fit the spatial modes. change on spatial region. Each vertical bar in Geostatistical semivariogram mainly trend analysis graph represents a data point‘s include Circular,spherical,Gaussian ， value (Height) and position. These points are Exponential and other models. Arcgis (9.3vesion) projected onto an east-west and a north-south includes 11 kinds of models. Each model direction orthogonal surface, thus Arcgis primarily through nugget (CO), partial sill value software can make a best-fit line through the (C), sill (CO+C), and nugget coefficient to projection point, and use it to impersonate the describe the regular pattern of spatial existent trend on a specific direction. If the lines distribution data. Kriging interpolation method are straight, this shows no trend existence on the includes simple Kriging, ordinary Kriging, space(Tang,2006).Therefore, trend surface universal Kriging and other methods. In practical analysis module of the GIS software was used to work, ordinary Kriging is often used to explore analyze the trend of the year 2000 and 2010 the spatial differential features of statistical data. Sichuan county population density, respectively. 3. Geostatistical analysis Results are listed in figure2. According to the county-level administrative units, population database of Sichuan Province, which was previously established,a spatial analysis of the database was done that included 2000 and 2010 year population density data of 181 counties and cities of Sichuan province and simulated out the Spatial distribution trends characteristics. Finally,
Load more

Recommended publications
  • Spatiotemporal Changes and the Driving Forces of Sloping Farmland Areas in the Sichuan Region
    sustainability Article Spatiotemporal Changes and the Driving Forces of Sloping Farmland Areas in the Sichuan Region Meijia Xiao 1 , Qingwen Zhang 1,*, Liqin Qu 2, Hafiz Athar Hussain 1 , Yuequn Dong 1 and Li Zheng 1 1 Agricultural Clean Watershed Research Group, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-Environment, Ministry of Agriculture, Beijing 100081, China; [email protected] (M.X.); [email protected] (H.A.H.); [email protected] (Y.D.); [email protected] (L.Z.) 2 State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100048, China; [email protected] * Correspondence: [email protected]; Tel.: +86-10-82106031 Received: 12 December 2018; Accepted: 31 January 2019; Published: 11 February 2019 Abstract: Sloping farmland is an essential type of the farmland resource in China. In the Sichuan province, livelihood security and social development are particularly sensitive to changes in the sloping farmland, due to the region’s large portion of hilly territory and its over-dense population. In this study, we focused on spatiotemporal change of the sloping farmland and its driving forces in the Sichuan province. Sloping farmland areas were extracted from geographic data from digital elevation model (DEM) and land use maps, and the driving forces of the spatiotemporal change were analyzed using a principal component analysis (PCA). The results indicated that, from 2000 to 2015, sloping farmland decreased by 3263 km2 in the Sichuan province. The area of gently sloping farmland (<10◦) decreased dramatically by 1467 km2, especially in the capital city, Chengdu, and its surrounding areas.
    [Show full text]
  • The 2008 Wenchuan Earthquake: Risk Management Lessons and Implications Ic Acknowledgements
    The 2008 Wenchuan Earthquake: Risk Management Lessons and Implications Ic ACKNOWLEDGEMENTS Authors Emily Paterson Domenico del Re Zifa Wang Editor Shelly Ericksen Graphic Designer Yaping Xie Contributors Joseph Sun, Pacific Gas and Electric Company Navin Peiris Robert Muir-Wood Image Sources Earthquake Engineering Field Investigation Team (EEFIT) Institute of Engineering Mechanics (IEM) Massachusetts Institute of Technology (MIT) National Aeronautics and Space Administration (NASA) National Space Organization (NSO) References Burchfiel, B.C., Chen, Z., Liu, Y. Royden, L.H., “Tectonics of the Longmen Shan and Adjacent Regoins, Central China,” International Geological Review, 37(8), edited by W.G. Ernst, B.J. Skinner, L.A. Taylor (1995). BusinessWeek,”China Quake Batters Energy Industry,” http://www.businessweek.com/globalbiz/content/may2008/ gb20080519_901796.htm, accessed September 2008. Densmore A.L., Ellis, M.A., Li, Y., Zhou, R., Hancock, G.S., and Richardson, N., “Active Tectonics of the Beichuan and Pengguan Faults at the Eastern Margin of the Tibetan Plateau,” Tectonics, 26, TC4005, doi:10.1029/2006TC001987 (2007). Embassy of the People’s Republic of China in the United States of America, “Quake Lakes Under Control, Situation Grim,” http://www.china-embassy.org/eng/gyzg/t458627.htm, accessed September 2008. Energy Bulletin, “China’s Renewable Energy Plans: Shaken, Not Stirred,” http://www.energybulletin.net/node/45778, accessed September 2008. Global Terrorism Analysis, “Energy Implications of the 2008 Sichuan Earthquake,” http://www.jamestown.org/terrorism/news/ article.php?articleid=2374284, accessed September 2008. World Energy Outlook: http://www.worldenergyoutlook.org/, accessed September 2008. World Health Organization, “China, Sichuan Earthquake.” http://www.wpro.who.int/sites/eha/disasters/emergency_reports/ chn_earthquake_latest.htm, accessed September 2008.
    [Show full text]
  • World Bank Document
    INTEGRATED SAFEGUARDS DATA SHEET CONCEPT STAGE Report No.: AC3902 Public Disclosure Authorized Date ISDS Prepared/Updated: 10/30/2008 I. BASIC INFORMATION A. Basic Project Data Country: China Project ID: P114107 Project Name: Wenchuan Earthquake Recovery Task Team Leader: Mara K. Warwick Estimated Appraisal Date: November 13, Estimated Board Date: December 16, 2008 2008 Managing Unit: EASCS Lending Instrument: Emergency Recovery Public Disclosure Authorized Loan Sector: General water, sanitation and flood protection sector (44%);Roads and highways (39%);Health (13%);General education sector (4%) Theme: Natural disaster management (P);Pollution management and environmental health (S);Access to urban services and housing (S) IBRD Amount (US$m.): 710.00 IDA Amount (US$m.): 0.00 GEF Amount (US$m.): 0.00 PCF Amount (US$m.): 0.00 Other financing amounts by source: Borrower 30.00 30.00 Public Disclosure Authorized B. Project Objectives [from section 2 of PCN] To restore essential infrastructure, health, and education services to at least pre-earthquake levels and reduce vulnerability to seismic and flood hazards in project areas. C. Project Description [from section 3 of PCN] The proposed emergency recovery loan (ERL) will span Sichuan and Gansu provinces and will be processed using a programmatic approach, which will include the following key areas: (a) identification, selection, and appraisal of individual investment projects, including technical standards; (b) safeguards; (c) procurement; (d) financial management; and (e) monitoring and evaluation. During preparation, frameworks will be developed to guide the selection, appraisal and implementation of the individual investments during project implementation. Public Disclosure Authorized The components of the ERL cover three main sectors: infrastructure, health and education.
    [Show full text]
  • Challenges and Countermeasures of Tourism
    International Conference on Social Science and Technology Education (ICSSTE 2015) Challenges and Countermeasures of Regional Tourism Cooperation Development Strategy of Sichuan-Shanxi-Gansu Golden Triangle Area，Western China Qin Jianxiong1 Zhang Minmin1 1 College of tourism and historic culture, Southwest University For Natianalities, Chengdu, 610041 Abstract visitors can explore in this line up and down five SSGGTA triangle of three provinces , dependent thousand years of culture, enjoy the mystery of Qinba [1] landscape, folk customs are similar, for the first time landscape . These tourism resources in Chongqing, since the 2002 held in Bazhong of SSGGTA triangle area Chengdu, Xi'an, Lanzhou, Wuhan five source among SSGGTA triangle tourism cooperation zone is composed tourism cooperation will be signed in SSGGTA triangle of Sichuan Bazhong, Guangyuan, Dazhou and Shanxi tourism, build "Golden Triangle" cooperation agreement, Hanzhoung, Ankang three provinces and five to 2005 has successively held 3 annual meeting. The goal municipalities, carry out cooperation in the past 3 years, of cooperation is through the sincere cooperation of the three provinces and five municipalities in the propaganda, three provinces, the formation of regional tourism build mutual interaction, line group, strategic planning collaboration regular contact system, the characteristics of consensus interaction and so on has made significant tourism products, the formation of regional joint progress, regional cooperation has been fully affirmed the promotion,a barrier free Tourism Zone, to realize the two provincial government and support. Sichuan North Sichuan area has been the focus of tourism development sustainable development of Shanxi tourism in Golden in the province, tourism development, Shanxi will also Triangle.
    [Show full text]
  • Study on the Ecotourism Development in Dazhou
    Open Journal of Social Sciences, 2018, 6, 24-34 http://www.scirp.org/journal/jss ISSN Online: 2327-5960 ISSN Print: 2327-5952 Study on the Ecotourism Development in Dazhou Xiaomei Pu1, Lin Tian2, Zibiao Cheng3 1Research Center of Sichuan Old Revolutionary Areas Development, Sichuan University of Arts and Science, Dazhou, China 2School of Foreign Languages, Sichuan University of Arts and Science, Dazhou, China 3School of Finance and Economics Management, Sichuan University of Arts and Science, Dazhou, China How to cite this paper: Pu, X.M., Tian, L. Abstract and Cheng, Z.B. (2018) Study on the Eco- tourism Development in Dazhou. Open After comprehensive discussion of the origin of ecotourism, the concept of Journal of Social Sciences, 6, 24-34. ecotourism and the theoretical basis for ecotourism development, the paper https://doi.org/10.4236/jss.2018.65002 carried out the SWOT analysis on ecotourism development in Dazhou City, Received: April 8, 2018 and then proposed development strategies. The strategies were to: enhance Accepted: May 13, 2018 the ecological awareness of the entire people and create a good atmosphere for Published: May 16, 2018 ecotourism development; break the talent bottleneck of ecotourism develop- ment by adopting the policy of “combination boxing”; make scientific and Copyright © 2018 by authors and Scientific Research Publishing Inc. feasible master plan for Dazhou’s ecotourism development; develop quality This work is licensed under the Creative ecotourism products; innovate marketing strategies for ecotourism in Dazhou. Commons Attribution International License (CC BY 4.0). Keywords http://creativecommons.org/licenses/by/4.0/ Open Access Dazhou, Ecotourism, Development 1.
    [Show full text]
  • Since the Reform and Opening Up1 1
    Int. Statistical Inst.: Proc. 58th World Statistical Congress, 2011, Dublin (Session CPS020) p.6378 Research of Acceleration Urbanization Impacts on Resources and Environment in Sichuan Province Caimo,Teng National Bureau of Statistics of China, Survey Organizations of Sichuan No.31, the East Route, Qingjiang Road Chengdu, China, 610072 E-mail: [email protected] Since the reform and opening up, the rapid development of economic society and the rise ceaselessly of urbanization in Sichuan play an important role for material civilization and spiritual civilization, but also bring influence for resources and environment, this paper give an in-depth analysis about this. Ⅰ. The Main Characteristics of the Urbanization Development in Sichuan The reflection of urbanization in essence is from the industry cluster to population cluster., we tend to divided the process of urbanization into four stages, 1949-1978 is the first stage, 1978 – 1990 is the second stage, 1990 -2000 is the third stage, After the year of 2000 is the fourth stage. In view the particularities of the first phase, this paper researches mainly after three stages. 1. The level of the urbanization enhances unceasingly. With the reform and opening-up and the rapid development of social economy, the urbanization in Sichuan has significant achievements. The average annual growth of the level of urbanization is 0.8 percent in the twelve years of the second stage. The average annual growth in the third stage and the four stages is individually 0.5 and 1.3 percentage. The average annual growth of urbanization in the fourth stage is faster respectively 0.5 and 0.8 percent than the previous two stages which reflects obviously the rapid rise of the urbanization after the fourth stage in Sichuan.
    [Show full text]
  • Download Dr. Qin's CV
    YOUPING QIN, Ph.D. National University of Natural Medicine 049 SW Porter St. Portland, OR 97201 Phone number: 503-323-0453 E-mail address: [email protected] EDUCATION 2002 Ph.D. (M.D. in China), Chengdu University of Traditional Chinese Medicine (TCM), Chengdu, Sichuan, PRC 1999 M.M.Sc. (Master degree of Medical Science), Chengdu University of TCM, Chengdu, Sichuan, PRC 1984 B.M., Chengdu University of TCM, Chengdu, Sichuan, PRC 1979 High School Student, The Fifth High School of Chengdu City, Chengdu, Sichuan, PRC TEACHING AND LECTURING 2001-present Instructor, School of Classical Chinese Medicine and Chair of acupuncture subcommittee, National University of Natural Medicine, Portland, OR 1998-01 Associate Professor (Associate Chief Physician), Acupuncture & Tuina College of Chengdu University of TCM, Chengdu, Sichuan, PRC 1984-01 Instructor, Teaching Hospital of Chengdu University of TCM, Chengdu, Sichuan, PRC 2000 Visiting Scholar, Shou Zhong School of Classical Acupuncture & TCM, Berlin, Germany Clinic & Chinese Herbal Laboratory of Dr. Karl Zippelius, M.D., Florence, Italy Clinic of Dr. Dimitris Sifneos, M.D., Paros, Greece Clinic of Joseline Chambrin, N.D. Nantes, France 1999-00 Accredited Instructor of the “Examinee Class of Traditional Chinese Medicine & Herbology for Intermediate Professional Promotion of Sichuan Province” (held by Health Department of Sichuan Province, PRC) 1998 Visiting Scholar, German Association for Classical Acupuncture and TCM Hamburg, Rottenburg & Munich, Germany 1995 Instructor, Shou Zhong School of Classical
    [Show full text]
  • The Survey on the Distribution of MC Fei and Xiao Initial Groups in Chinese Dialects
    IALP 2020, Kuala Lumpur, Dec 4-6, 2020 The Survey on the Distribution of MC Fei and Xiao Initial Groups in Chinese Dialects Yan Li Xiaochuan Song School of Foreign Languages, School of Foreign Languages, Shaanxi Normal University, Shaanxi Normal University Xi’an, China /Henan Agricultural University e-mail: [email protected] Xi’an/Zhengzhou, China e-mail:[email protected] Abstract — MC Fei 非 and Xiao 晓 initial group discussed in this paper includes Fei 非, Fu groups are always mixed together in the southern 敷 and Feng 奉 initials, but does not include Wei part of China. It can be divided into four sections 微, while MC Xiao 晓 initial group includes according to the distribution: the northern area, the Xiao 晓 and Xia 匣 initials. The third and fourth southwestern area, the southern area, the class of Xiao 晓 initial group have almost southeastern area. The mixing is very simple in the palatalized as [ɕ] which doesn’t mix with Fei northern area, while in Sichuan it is the most initial group. This paper mainly discusses the first extensive and complex. The southern area only and the second class of Xiao and Xia initials. The includes Hunan and Guangxi where ethnic mixing of Fei and Xiao initials is a relatively minorities gather, and the mixing is very recent phonetic change, which has no direct complicated. Ancient languages are preserved in the inheritance with the phonological system of southeastern area where there are still bilabial Qieyun. The mixing mainly occurs in the southern sounds and initial consonant [h], but the mixing is part of the mainland of China.
    [Show full text]
  • G/SCM/N/343/CHN 19 July 2019 (19-4822) Page
    G/SCM/N/343/CHN 19 July 2019 (19-4822) Page: 1/249 Committee on Subsidies and Countervailing Measures Original: English SUBSIDIES NEW AND FULL NOTIFICATION PURSUANT TO ARTICLE XVI:1 OF THE GATT 1994 AND ARTICLE 25 OF THE AGREEMENT ON SUBSIDIES AND COUNTERVAILING MEASURES CHINA The following communication, dated 30 June 2019, is being circulated at the request of the delegation of China. _______________ The following notification constitutes China's new and full notification of information on programmes granted or maintained at the central and sub-central government level during the period from 2017 to 2018. The information provided in this notification serves the purpose of transparency. Pursuant to Article 25.7 of the SCM Agreement, this notification does not prejudge the legal status of the notified programmes under GATT 1994 and the SCM Agreement, the effects under the SCM Agreement or the nature of the programmes themselves. China has included certain programmes in this notification which arguably are not (or are not always) subsidies or specific subsidies subject to the notification obligation within the meaning of the SCM Agreement. G/SCM/N/343/CHN - 2 - TABLE OF CONTENTS SUBSIDIES AT THE CENTRAL GOVERNMENT LEVEL .......................................................... 6 1 PREFERENTIAL TAX POLICIES FOR CHINESE-FOREIGN EQUITY JOINT VENTURES ENGAGED IN PORT AND DOCK CONSTRUCTION ............................................................... 6 2 PREFERENTIAL TAX POLICIES FOR ENTERPRISES WITH FOREIGN INVESTMENT ESTABLISHED IN SPECIAL ECONOMIC ZONES (EXCLUDING SHANGHAI PUDONG AREA) . 7 3 PREFERENTIAL TAX POLICIES FOR ENTERPRISES WITH FOREIGN INVESTMENT ESTABLISHED IN PUDONG AREA OF SHANGHAI ............................................................... 8 4 PREFERENTIAL TAX POLICIES IN THE WESTERN REGIONS ......................................... 9 5 PREFERENTIAL TAX POLICIES FOR HIGH OR NEW TECHNOLOGY ENTERPRISES ......
    [Show full text]
  • The Spatial and Temporal Distribution Characteristics of Rainstorm Disaster in Sichuan Province Over the Past Decade
    Journal of Geoscience and Environment Protection, 2017, 5, 1-9 http://www.scirp.org/journal/gep ISSN Online: 2327-4344 ISSN Print: 2327-4336 The Spatial and Temporal Distribution Characteristics of Rainstorm Disaster in Sichuan Province over the Past Decade Jie Gao1,2, Jianhua Pan1, Mingtian Wang1, Shanyun Guo1 1Sichuan Provincial Meteorological Observatory, Chengdu, China 2Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu, China How to cite this paper: Gao, J., Pan, J.H., Abstract Wang, M.T. and Guo, S.Y. (2017) The Spatial and Temporal Distribution Charac- The spatial and temporal distribution characteristics of rainstorm disaster in teristics of Rainstorm Disaster in Sichuan Sichuan Province were investigated by statistical analysis method based on Province over the Past Decade. Journal of 2002-2015 rainstorm disaster data of Sichuan Province. As shown by the re- Geoscience and Environment Protection, 5, 1-9. sults, the rainstorm disaster in Sichuan Province was distributed mainly in https://doi.org/10.4236/gep.2017.58001 four regions including Liangshan Prefecture and Sichuan Basin during 2002-2015, and the rainstorm disaster distribution had a good corresponding Received: March 29, 2017 Accepted: July 16, 2017 relationship with the rainstorm center regions; in terms of annual variation Published: July 19, 2017 trend, the variation of rainstorm disaster frequency showed a significant qua- si-2-3-year oscillation period; in terms of monthly distribution, June, July and Copyright © 2017 by authors and August saw the heaviest rainstorms; the high death toll from rainstorms was Scientific Research Publishing Inc. This work is licensed under the Creative attributed to not only routine rainfall, occurrence time and terrain feature, but Commons Attribution International also the populace’s awareness of disaster prevention and the disaster preven- License (CC BY 4.0).
    [Show full text]
  • Table of Codes for Each Court of Each Level
    Table of Codes for Each Court of Each Level Corresponding Type Chinese Court Region Court Name Administrative Name Code Code Area Supreme People’s Court 最高人民法院 最高法 Higher People's Court of 北京市高级人民 Beijing 京 110000 1 Beijing Municipality 法院 Municipality No. 1 Intermediate People's 北京市第一中级 京 01 2 Court of Beijing Municipality 人民法院 Shijingshan Shijingshan District People’s 北京市石景山区 京 0107 110107 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Haidian District of Haidian District People’s 北京市海淀区人 京 0108 110108 Beijing 1 Court of Beijing Municipality 民法院 Municipality Mentougou Mentougou District People’s 北京市门头沟区 京 0109 110109 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Changping Changping District People’s 北京市昌平区人 京 0114 110114 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Yanqing County People’s 延庆县人民法院 京 0229 110229 Yanqing County 1 Court No. 2 Intermediate People's 北京市第二中级 京 02 2 Court of Beijing Municipality 人民法院 Dongcheng Dongcheng District People’s 北京市东城区人 京 0101 110101 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Xicheng District Xicheng District People’s 北京市西城区人 京 0102 110102 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Fengtai District of Fengtai District People’s 北京市丰台区人 京 0106 110106 Beijing 1 Court of Beijing Municipality 民法院 Municipality 1 Fangshan District Fangshan District People’s 北京市房山区人 京 0111 110111 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Daxing District of Daxing District People’s 北京市大兴区人 京 0115
    [Show full text]
  • Spatial Association and Effect Evaluation of CO2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis
    sustainability Article Spatial Association and Effect Evaluation of CO2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis Jinzhao Song 1, Qing Feng 1, Xiaoping Wang 1,*, Hanliang Fu 1 , Wei Jiang 2 and Baiyu Chen 3 1 School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China; [email protected] (J.S.); [email protected] (Q.F.); [email protected] (H.F.) 2 Department of Ecosystem Science and Management, Pennsylvania State University, Forest Resources Building, University Park, PA 16802, USA; [email protected] 3 College of Engineering, University of California Berkeley, Berkeley, CA 94720, USA; [email protected] * Correspondence: [email protected] Received: 29 October 2018; Accepted: 17 December 2018; Published: 20 December 2018 Abstract: Urban agglomeration, an established urban spatial pattern, contributes to the spatial association and dependence of city-level CO2 emission distribution while boosting regional economic growth. Exploring this spatial association and dependence is conducive to the implementation of effective and coordinated policies for regional level CO2 reduction. This study calculated CO2 emissions from 2005–2016 in the Chengdu-Chongqing urban agglomeration with the IPAT model, and empirically explored the spatial structure pattern and association effect of CO2 across the area leveraged by the social network analysis. The findings revealed the following: (1) The spatial structure of CO2 emission in
    [Show full text]